Abstract
This paper describes an improved version of our system for robust detection of buildings with a gable roof in varying rural areas from very-high-resolution aerial images. The algorithm follows a custom-made design, extracting key features close to modeling, such as roof ridges and gutters, in order to allow a large freedom in roof appearances. It starts by detecting straight line-segments as roof-ridge hypotheses, and for each of them, the likely roof-gutter positions are estimated. Supervised classification is employed to select the optimal gutter pair and to reject unlikely detections. Afterwards, overlapping detections are merged. Experiments on a large dataset containing 220 images, covering different rural regions with significant variation in both building appearance and surroundings, show that the system is able to detect over 87% of the present buildings, thereby handling common distortions, such as occlusions by trees.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Izadi, M., Saeed, P.: Automatic building detection in aerial images using a hierarchical feature based image segmentation. In: 20th International Conference on Pattern Recognition, pp. 472–475 (2010)
Ok, A.O.: Automated description of 2-d building boundaries from a single color aerial ortho-image. In: Proceedings of ISPRS, High Res. Earth Imag. for Geospat. Inf., pp. 1417–1420 (2009)
Nosrati, M.S., Saeedi, P.: A novel approach for polygonal rooftop detection in satellite/aerial imageries. In: Int. Conf. on Image Processing (ICIP), pp. 1709–1712 (2009)
Jin, X., Davis, C.H.: Automated building extraction from high-resolution satellite imagery in urban areas using structural, contextual, and spectral information. EURASIP Journal on Applied Signal Processing, 2196–2206 (2005)
Benedek, C., Descombes, X., Zerubia, J.: Building detection in a single remotely sensed image with a point process of rectangles. In: 20th International Conference on Pattern Recognition (2010)
Hazelhoff, L., De With, P.: Localizations of buildings with a gable roof in very-high-resolution aerial images. In: Proceedings of IS&T SIE Electronic Imaging, Visual Information Processing and Communication II (2011)
Comanicu, D., Meer, P.: Mean shift: A robust approach toward feature space analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence 24, 603–619 (2002)
Guru, D.S., Shekar, B.H., Nagabhushan, P.: A simple and robust line detection algorithm based on small eigenvalue analysis. Pattern Recognition Letters 25, 1–13 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hazelhoff, L., de With, P.H.N. (2011). Robust Model-Based Detection of Gable Roofs in Very-High-Resolution Aerial Images. In: Real, P., Diaz-Pernil, D., Molina-Abril, H., Berciano, A., Kropatsch, W. (eds) Computer Analysis of Images and Patterns. CAIP 2011. Lecture Notes in Computer Science, vol 6854. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23672-3_72
Download citation
DOI: https://doi.org/10.1007/978-3-642-23672-3_72
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23671-6
Online ISBN: 978-3-642-23672-3
eBook Packages: Computer ScienceComputer Science (R0)